Writer Mike Mariani explores the widespread perception that time is moving faster than in previous decades, particularly since the Covid pandemic. He documents how this conviction has shifted from introspection to alarm across all age groups, appearing in online forums and everyday conversation, while examining whether something fundamental has changed in how humans gauge the passage of time.
HeronLoom is a tool that transforms social media posts and documents into a 3D graph for analyzing trends, sentiment, and predictions using iterative clustering and LLM-based analysis. It tracks how topics and narratives evolve over time while preserving conflicting interpretations and maintaining evidence-based confidence scores with citations to source material.
In November 2024, the author fine-tuned a small language model on r/SkincareAddiction comments and built a classifier to filter training data by usefulness, objectivity, and quality. The article explains different approaches to text classification—regex, vectorization, LLM prompting, and teacher-student distillation—with the author using the last method to label ~120,000 comments for training.
A study analyzing Reddit posts ranked Arizona as the least profane state with a rudeness score of 2.63 out of 10, but Phoenix New Times disputes the findings, arguing that Arizonans curse frequently in daily life, particularly while driving and dealing with extreme heat.
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A personal reflection on redefining retirement not as complete work cessation but as a transition to lower-stress, meaningful work. The author envisions a portfolio approach combining part-time teaching, writing, and community work rather than pursuing full financial independence, arguing that work provides essential psychological benefits like structure and social connection while the real goal is eliminating chronic stress.
A developer used Gemini API to label 4,290 Reddit comments about chef's knives for $9, then fine-tuned the open-source GLiNER model on those labels to achieve 0.83 F1 score, replacing expensive API calls with a local model that pays for itself within thousands of comments.
Denuvo GmbH filed a lawsuit against anonymous cracker 'voices38' in U.S. District Court for bypassing its Anti-Tamper DRM on 26 games, citing DMCA anti-circumvention violations. The case relies on copyright law provisions rather than traditional infringement claims, as Denuvo seeks to protect its business model licensing protection to game publishers.
Reddit remains a source of useful content but has become increasingly difficult to navigate due to sensational misinformation, spam, hostile communities, and bot activity. AI-related subreddits that once provided helpful information now feature predominantly clickbait claims about AGI and LLMs, while other communities are flooded with sexual content, advertisements, and mean-spirited posts that drown out genuine discussion.
Radar is a tool that helps software makers find Reddit threads where potential customers discuss problems their product could solve. It generates ready-to-post replies based on the user's website, respects community rules, and requires manual posting to avoid account bans.
An engineer evaluates their two custom LLM judges (brief and scout) used to filter AI news and Reddit threads, applying Dan Luu's critical evaluation method. They present five exercises highlighting inconsistencies and methodological issues discovered in their evaluation suites, including variable results across repeated runs, unclear evaluation criteria, and model-dependent performance changes.
Subsmap is a tool that maps audience overlap across 126,413 subreddits by analyzing shared commenters and community engagement. It provides ranked community search, identifies trending posts, tracks active users, and integrates with Claude and other AI models via MCP to help users understand Reddit's audience landscape and SEO impact.